Linear Regression Linear regression is a way to find the linear relationship between the dependent and independent variable by minimizing the distance.…
Pytorch Tutorial
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Testing of Perceptron Model The purpose of the perceptron model is to classify our data and tell us about the chances of…
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Loss Function in PyTorch In the previous topic, we saw that the line is not correctly fitted to our data. To make…
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Creating Data Model using Custom Module There is another way to find the prediction. In the previous section, we find the prediction…
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Mean Squared Error Mean Squared Error is calculated in much the same way as the general loss equation from earlier. We will…
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Data Augmentation Process Previously, we saw a significant increment in model accuracy. Our model was effectively trained to classify the training data.…
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MNIST Dataset of Image Recognition in PyTorch In this topic, we will discuss a new type of dataset which we will use…
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Deep Learning Deep learning is a set of algorithms used in Machine Learning. It is a part of machine learning methods based…
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Non-linear Boundary in Deep Neural Network In the perceptron model, we used a linear model to classify two regions of data. Realistic…
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Feature Extraction for Style Transferring After loading the images into memory, we will implement the style transfer. It is necessary to separate…